Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 2,306) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Coahuila Rural 0.9174216
 302  A*24-B*48-C*08-DRB1*15  Myanmar Chin 0.909055
 303  A*02-B*48-DRB1*14-DQB1*03:01  Ecuador Mixed Ancestry 0.89511,173
 304  A*31-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Coatzacoalcos 0.892955
 305  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz, Coatzacoalcos 0.892955
 306  A*32-B*48-DRB1*12-DQA1*05-DQB1*03:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 0.8900112
 307  A*24:02-B*48:01-C*08:01-DRB1*11:01-DRB3*02:02-DQB1*03:01  USA NMDP Filipino 0.879050,614
 308  A*02-B*48-DRB1*04:07-DQB1*03:02  Bolivia La Paz Aymaras 0.856087
 309  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Chihuahua City 0.8403119
 310  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Chihuahua Rural 0.8368236
 311  A*02:01:01:01-B*48:01:01-C*08:03:01-DRB1*11:04:01-DQB1*03:01  Russia Bashkortostan, Bashkirs 0.8333120
 312  A*31-B*48-DRB1*08-DQB1*03:02  Mexico Veracruz, Orizaba 0.833360
 313  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala, Tlaxcala city 0.8287181
 314  A*68-B*48-DRB1*08-DQB1*04  Mexico Chiapas Rural 0.8264121
 315  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Colima, Colima city 0.819761
 316  A*24-B*48-DRB1*15-DQB1*05  Mexico Colima, Colima city 0.819761
 317  A*31-B*48-DRB1*08-DQB1*04  Mexico Colima, Colima city 0.819761
 318  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Veracruz, Xalapa 0.8021187
 319  A*68-B*48-DRB1*08-DQB1*04  Mexico Mexico City North 0.7968751
 320  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.7955439
 321  A*24-B*48-C*08-DRB1*15  Myanmar Kachin 0.794063
 322  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Tamaulipas Rural 0.7937125
 323  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7831830
 324  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Nayarit Rural 0.781264
 325  A*02-B*48-DRB1*08-DQB1*04  Mexico Nayarit Rural 0.781264
 326  A*68-B*48-DRB1*08-DQB1*04  Mexico Nayarit Rural 0.781264
 327  A*02-B*48-C*08-DRB1*15  Myanmar Mon 0.781064
 328  A*24-B*48-C*04-DRB1*15  Myanmar Mon 0.781064
 329  A*02:01-B*48:01-C*08:01-DRB1*07:01-DQB1*03:01  Iran Gorgan 0.780064
 330  A*24:02-B*48:01-C*08:01-DRB1*04:01-DQB1*03:01  Iran Gorgan 0.780064
 331  A*01:01-B*48:01-DRB1*14:06-DQB1*03:01  Chile Mapuche 0.770066
 332  A*24:02-B*48:01-DRB1*01:01-DQB1*05:01  Chile Mapuche 0.770066
 333  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 334  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Sonora Rural 0.7614197
 335  A*68:01-B*48:01-C*08:03-DRB1*04:11-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 336  A*68:03-B*48:01-C*08:03-DRB1*04:04-DQA1*03:01-DQB1*03:02  Mexico Tixcacaltuyub Maya 0.746367
 337  A*32:01-B*48:04-C*01:02-DRB1*12:02-DQB1*03:01  India South UCBB 0.731111,446
 338  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Mexico City North 0.7304751
 339  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.7304751
 340  A*24-B*48-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.7229830
 341  A*01-B*48-DRB1*14:06-DQB1*03:01  Bolivia Quechua 0.720069
 342  A*24-B*48-DRB1*04:08-DQB1*03:02  Bolivia Quechua 0.720069
 343  A*31-B*48-DRB1*04:04-DQB1*03:02  Bolivia Quechua 0.720069
 344  A*31-B*48-DRB1*04:07-DQB1*03:02  Bolivia Quechua 0.720069
 345  A*69-B*48-DRB1*14:02-DQB1*03:01  Bolivia Quechua 0.720069
 346  A*02-B*48-DRB1*08-DQB1*04  Mexico Michoacan Rural 0.7163348
 347  A*11:01-B*48:01-C*08:01-DRB1*08:03-DQB1*06:01  USA NMDP Hawaiian or other Pacific Islander 0.705611,499
 348  A*02-B*48-DRB1*08-DQB1*04  Mexico Tabasco Rural 0.7042142
 349  B*48-DRB1*12  Russia South Ural Tatar 0.7000135
 350  B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo population 0.6993143
 351  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 352  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 353  A*02-B*48-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 354  A*03:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 355  A*03:01:02-B*48:01:01-C*08:01:01-DRB1*14:02:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 356  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 357  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 358  A*31:01:02-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 359  A*66:01:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 360  A*68:01:01-B*48:01:01-C*07:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 361  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*04:07:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 362  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 363  A*68:01:01-B*48:01:01-C*08:01:01-DRB1*14:06:01-DQB1*03:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 364  A*68:03:01-B*48:01:01-C*04:01:01-DRB1*08:02:01-DQB1*04:02  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 365  A*68-B*48-C*01-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 366  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Guerrero state 0.6944144
 367  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Guerrero state 0.6944144
 368  B*48-C*01  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 369  B*48-C*01-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 370  B*48-C*08  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 371  B*48-C*08-DRB1*04-DQA1*03-DQB1*03  Mexico Tapachula, Chiapas Mestizo Population 0.694472
 372  A*02-B*48-DRB1*08-DQB1*04  Mexico Coahuila, Saltillo 0.684972
 373  A*24-B*48-DRB1*12-DQB1*03:01  Mexico Coahuila, Saltillo 0.684972
 374  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.67001,189
 375  A*02-B*48-C*08:03-DRB1*09:01-DQB1*03  Russia Transbaikal Territory Buryats 0.6670150
 376  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Baja California, La Paz 0.666775
 377  A*24-B*48-DRB1*08-DQB1*04  Mexico Baja California, La Paz 0.666775
 378  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 379  A*02-B*48-DRB1*14-DQB1*03:01  Mexico Michoacan, Morelia 0.6623150
 380  A*24-B*48-DRB1*08-DQB1*04  Mexico Michoacan, Morelia 0.6623150
 381  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 382  A*31-B*48-DRB1*04-DQB1*03:02  Mexico Oaxaca, Oaxaca city 0.6623151
 383  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Michoacan, Morelia 0.6623150
 384  A*68-B*48-DRB1*08-DQB1*04  Mexico Oaxaca, Oaxaca city 0.6623151
 385  A*02-B*48-DRB1*08-DQB1*04  Mexico Puebla, Puebla city 0.65131,994
 386  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Mexico City Center 0.6494152
 387  A*68-B*48-DRB1*08-DQB1*04  Mexico Mexico City Center 0.6494152
 388  A*02-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.6470539
 389  A*68-B*48-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.6470539
 390  A*02-B*48-DRB1*09-DQB1*03:03  Mexico Durango, Durango city 0.6452153
 391  A*02:01:01-B*48:01:01-C*08:01:01-DRB1*04:07  Nicaragua Mestizo (G) 0.6452155
 392  A*02:01-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 393  A*02:06-B*48:01-C*08:01-DRB1*08:02-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.6410234
 394  A*02-B*48-DRB1*08-DQB1*04  Mexico Guanajuato, Leon 0.641078
 395  A*02-B*48-DRB1*16-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 396  A*24-B*48-DRB1*14-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 397  A*68-B*48-DRB1*16-DQB1*03:01  Mexico Guanajuato, Leon 0.641078
 398  B*48:01-C*08:01-DRB1*04:04-DQB1*03:02  Mexico Mexico City Mestizo pop 2 0.6400234
 399  B*48:01-C*08:03  Mexico Mexico City Mestizo pop 2 0.6400234
 400  A*24-B*48-DRB1*04-DQB1*03:02  Ecuador Coast Mixed Ancestry 0.6303238

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 301 to 400 (from 2,306) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 24  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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